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A Not So-Random Walk with Wind: Evaluating Wind Velocity Update Methods in Ground Based Spray Deposition Models

机译:不那么随风而行的风:在基于地面的喷雾沉积模型中评估风速更新方法

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摘要

The notion that wind speed and direction can be approximated by adding a random fluctuation to the previous value was investigated. The data were recorded at one meter above a field to simulate conditions that are present at a ground sprayer‘s boom. Variance ratio tests were carried out to test the null hypothesis that wind possesses similar properties to a random walk versus the alternative that wind does not. More specifically, are the random fluctuations auto correlated with one another in time? This process was done to a 10Hz sample and averages of the measured wind data at 0.5, 1, 5, 10, 30, 60, 300, and 600 seconds. It was found that for all tests, except for the 300 and 600 second data samples, the null hypothesis was rejected at greater than 99.9% certainty. This indicates that there is evidence of autocorrelation (rather than randomness) in the measurements of wind speed and direction, associated with each other in time.
机译:研究了可以通过将随机波动添加到先前值来近似风速和风向的概念。数据记录在田地上方一米处,以模拟地面喷雾器吊杆的状况。进行方差比检验来检验零假设,即风具有与随机游走相似的特性,而风却没有随机游走。更具体地说,随机波动是否在时间上彼此自动关联?对10Hz的样本执行此过程,并在0.5、1、5、10、30、60、300和600秒处测量风数据的平均值。结果发现,对于所有测试,除了300和600秒的数据样本外,无效假设的确定性均高于99.9%。这表明在风速和风向的测量中存在时间相互关联的自相关(而不是随机性)的证据。

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